code: def get_mind_data_set(type):
      """Get MIND dataset address
  
      Args:
          type (str): type of mind dataset, must be in ['large', 'small', 'demo']
  
      Returns:
          list: data url and train valid dataset name
      """
      assert type in ["large", "small", "demo"]
  
      if type == "large":
          return (
              "https://mind201910small.blob.core.windows.net/release/",
              "MINDlarge_train.zip",
              "MINDlarge_dev.zip",
              "MINDlarge_utils.zip",
          )
  
      elif type == "small":
          return (
              "https://mind201910small.blob.core.windows.net/release/",
              "MINDsmall_train.zip",
              "MINDsmall_dev.zip",
              "MINDsmall_utils.zip",
          )
  
      elif type == "demo":
          return (
              "https://recodatasets.z20.web.core.windows.net/newsrec/",
              "MINDdemo_train.zip",
              "MINDdemo_dev.zip",
              "MINDdemo_utils.zip",
          )
  
file_path: recommenders/recommenders/models/newsrec/newsrec_utils.py
imports: from recommenders.models.deeprec.deeprec_utils import flat_config, HParams, load_yaml
  import random
  import re
label_desc: Use image node_id 7 for calling a global function with example usage: get_mind_data_set(type) and returns: str,  str,  str,  str, str,  str,  str,  str, str,  str,  str,  str